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A common use case for ETL tools include converting CSV files to formats readable by relational databases. A typical translation of millions of records is facilitated by ETL tools that enable users to input csv-like data feeds/files and import them into a database with as little code as possible.
Scriptella ETL – ETL (Extract-Transform-Load) and script execution tool. Supports integration with J2EE and Spring. Provides connectors to CSV, LDAP, XML, JDBC/ODBC, and other data sources; Weka – Data mining software written in Java featuring machine learning operators for classification, regression, and clustering
Wikipedia preprocessor (wikiprep.pl) is a Perl script that preprocesses raw XML dumps and builds link tables, category hierarchies, collects anchor text for each article etc. Wikipedia SQL dump parser is a .NET library to read MySQL dumps without the need to use MySQL database
Can convert dBASE data from .dbf files to CSV, HTML, Microsoft Excel 2003 and below, Microsoft Excel 2008 and above, or XML. dbDOS PRO 4.0 May 6, 2015 dBase, LLC Unveils New Version of dbDOS PRO 4! [33] dbDOS PRO 4, the latest version of the best-selling solution for supporting MS-DOS based applications on Windows Vista and above operating systems.
Code generation is the process of generating executable code (e.g. SQL, Python, R, or other executable instructions) that will transform the data based on the desired and defined data mapping rules. [4] Typically, the data transformation technologies generate this code [5] based on the definitions or metadata defined by the developers.
Through Extended SQL Services (ESS), SQL databases can be used as data sources in FileMaker's relationship graph, thus allowing the developer to create new layouts based on the SQL database; create, edit, and delete SQL records via FileMaker layouts and functions; and reference SQL fields in FileMaker calculations and script steps.
Comma-separated values (CSV) is a text file format that uses commas to separate values, and newlines to separate records. A CSV file stores tabular data (numbers and text) in plain text, where each line of the file typically represents one data record. Each record consists of the same number of fields, and these are separated by commas in the ...
The SQL market referred to this as static SQL, versus dynamic SQL which could be changed at any time, like the command-line interfaces that shipped with almost all SQL systems, or a programming interface that left the SQL as plain text until it was called. Dynamic SQL systems became a major focus for SQL vendors during the 1980s.